Bankometer Models for Predicting Financial Distress in Banking Industry

Africa, Laely Aghe (2018) Bankometer Models for Predicting Financial Distress in Banking Industry. Jurnal Keuangan dan Perbankan, 22 (2). pp. 373-379. ISSN 2443-2687

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Official URL: http://jurnal.unmer.ac.id/index.php/jkdp/article/v...

Abstract

Banking is a collection of several functions of the bank, which focus on profit and on social. However, the banking world can also experience collapse, and there are indications of bankruptcy, and one model for predicting bankruptcy is Bankometer Model. The purpose of this study was to analyze whether Bankometer Model could be used to determine financial distress. The samples of this research were 111 bank data which were listed in Indonesia Stock Exchange from 2014 to 2016. It consisted of 60 data for foreign exchange bank and 51 data for non-foreign exchange bank. Logistic Regression SPSS Version 23 was used to analyze data. The result of this research was that Bankometer Model could be used to determine financial distress for foreign exchange bank and non-foreign exchange bank. The implications of this research were for company management in deciding company policies related to financial distress.

Item Type: Article
Subjects: 600 - TECHNOLOGY > 657 - ACCOUNTING > 657.9 - ACCOUNTING-BANK
Divisions: Lecturer
Depositing User: LAELY AGHE AFRICA
Date Deposited: 06 Jul 2020 22:20
Last Modified: 06 Jul 2020 22:20
URI: http://eprints.perbanas.ac.id/id/eprint/6839

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